Methods

Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NeurIPS 2008 Non-stationary dynamic Bayesian networks NeurIPS 2008 Probabilistic detection of short events, with application to critical care monitoring NeurIPS 2008 Scalable Algorithms for String Kernels with Inexact Matching NeurIPS 2008 Search for Additive Nonlinear Time Series Causal Models JMLR 2008 Simple Local Models for Complex Dynamical Systems NeurIPS 2008 Spectral Clustering with Perturbed Data NeurIPS 2008 Visualizing Data using t-SNE JMLR 2008 Augmented Functional Time Series Representation and Forecasting with Gaussian Processes NeurIPS 2007 Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NeurIPS 2007 Catching Change-points with Lasso NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NeurIPS 2007 Locality and low-dimensions in the prediction of natural experience from fMRI NeurIPS 2007 Measuring Neural Synchrony by Message Passing NeurIPS 2007 Mining Internet-Scale Software Repositories NeurIPS 2007 Stability Bounds for Non-i.i.d. Processes NeurIPS 2007 The Infinite Markov Model NeurIPS 2007 Aggregating Classification Accuracy across Time: Application to Single Trial EEG NeurIPS 2006 A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NeurIPS 2006 A recipe for optimizing a time-histogram NeurIPS 2006 Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NeurIPS 2006 Blind source separation for over-determined delayed mixtures NeurIPS 2006 Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees NeurIPS 2006 Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data NeurIPS 2006